Pandas Profiling Report

Dataset statistics

Number of variables	34
Number of observations	11
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.0 KiB
Average record size in memory	283.6 B

Variable types

Categorical	21
Numeric	13

Alerts

`Country` has constant value "BOTSWANA"	Constant
`Destination Country` has constant value "Botswana"	Constant
`Gross Weight UOM` has constant value "KGM"	Constant
`Net Weight UOM` has constant value "KGM"	Constant
`Month` has constant value "August"	Constant
`Year` has constant value "2021"	Constant
`Hs Code` is highly overall correlated with `Gross Weight` and 9 other fields	High correlation
`Gross Weight` is highly overall correlated with `Hs Code` and 17 other fields	High correlation
`Net Weight` is highly overall correlated with `Hs Code` and 17 other fields	High correlation
`Quantity` is highly overall correlated with `Gross Weight` and 7 other fields	High correlation
`No Of Packages` is highly overall correlated with `Hs Code` and 11 other fields	High correlation
`Customs Value Bwp` is highly overall correlated with `Gross Weight` and 12 other fields	High correlation
`Customs value USD` is highly overall correlated with `Gross Weight` and 12 other fields	High correlation
`Invoice Amount BWP` is highly overall correlated with `Gross Weight` and 8 other fields	High correlation
`Freight BWP` is highly overall correlated with `Customs Value Bwp` and 6 other fields	High correlation
`Vat` is highly overall correlated with `Gross Weight` and 11 other fields	High correlation
`Chapter` is highly overall correlated with `Hs Code` and 9 other fields	High correlation
`Heading` is highly overall correlated with `Hs Code` and 9 other fields	High correlation
`Subheading` is highly overall correlated with `Hs Code` and 9 other fields	High correlation
`Date` is highly overall correlated with `Gross Weight` and 7 other fields	High correlation
`Importer` is highly overall correlated with `Hs Code` and 26 other fields	High correlation
`Importer Address` is highly overall correlated with `Gross Weight` and 11 other fields	High correlation
`Exporter` is highly overall correlated with `Hs Code` and 26 other fields	High correlation
`Declarant` is highly overall correlated with `Importer` and 10 other fields	High correlation
`ORIGIN Origin Country` is highly overall correlated with `Importer` and 9 other fields	High correlation
`Origin Country` is highly overall correlated with `Importer` and 9 other fields	High correlation
`Export Country` is highly overall correlated with `Importer` and 9 other fields	High correlation
`Port Of Entry` is highly overall correlated with `Customs Value Bwp` and 13 other fields	High correlation
`Place Of Discharge` is highly overall correlated with `Customs Value Bwp` and 13 other fields	High correlation
`Hs Code Description` is highly overall correlated with `Hs Code` and 26 other fields	High correlation
`Commercial Description` is highly overall correlated with `Hs Code` and 26 other fields	High correlation
`Quantity UOM` is highly overall correlated with `Importer` and 3 other fields	High correlation
`Package Type` is highly overall correlated with `Gross Weight` and 10 other fields	High correlation
`Declaration Office` is highly overall correlated with `Customs Value Bwp` and 13 other fields	High correlation
`Importer` is uniformly distributed	Uniform
`Importer Address` is uniformly distributed	Uniform
`Exporter` is uniformly distributed	Uniform
`Hs Code Description` is uniformly distributed	Uniform
`Commercial Description` is uniformly distributed	Uniform
`Importer` has unique values	Unique
`Exporter` has unique values	Unique
`Hs Code` has unique values	Unique
`Hs Code Description` has unique values	Unique
`Commercial Description` has unique values	Unique
`Net Weight` has unique values	Unique
`Customs Value Bwp` has unique values	Unique
`Customs value USD` has unique values	Unique
`Invoice Amount BWP` has unique values	Unique
`Freight BWP` has unique values	Unique
`Vat` has unique values	Unique
`Chapter` has unique values	Unique
`Heading` has unique values	Unique
`Subheading` has unique values	Unique

Reproduction

Analysis started	2023-04-17 14:24:08.014353
Analysis finished	2023-04-17 14:24:26.154969
Duration	18.14 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Date
Categorical

Distinct	7
Distinct (%)	63.6%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

11-Aug-21	3
04-Aug-21	2
10-Aug-21	2
01-Aug-21	1
03-Aug-21	1
Other values (2)	2

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	99
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	36.4%

Sample

1st row	01-Aug-21
2nd row	04-Aug-21
3rd row	10-Aug-21
4th row	03-Aug-21
5th row	11-Aug-21

Common Values

Value	Count	Frequency (%)
11-Aug-21	3	27.3%
04-Aug-21	2	18.2%
10-Aug-21	2	18.2%
01-Aug-21	1	9.1%
03-Aug-21	1	9.1%
05-Aug-21	1	9.1%
02-Aug-21	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
11-aug-21	3	27.3%
04-aug-21	2	18.2%
10-aug-21	2	18.2%
01-aug-21	1	9.1%
03-aug-21	1	9.1%
05-aug-21	1	9.1%
02-aug-21	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
-	22	22.2%
1	20	20.2%
2	12	12.1%
A	11	11.1%
u	11	11.1%
g	11	11.1%
0	8	8.1%
4	2	2.0%
3	1	1.0%
5	1	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	44	44.4%
Dash Punctuation	22	22.2%
Lowercase Letter	22	22.2%
Uppercase Letter	11	11.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	20	45.5%
2	12	27.3%
0	8	18.2%
4	2	4.5%
3	1	2.3%
5	1	2.3%

Lowercase Letter

Value	Count	Frequency (%)
u	11	50.0%
g	11	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22	100.0%

Uppercase Letter

Value	Count	Frequency (%)
A	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	66	66.7%
Latin	33	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	22	33.3%
1	20	30.3%
2	12	18.2%
0	8	12.1%
4	2	3.0%
3	1	1.5%
5	1	1.5%

Latin

Value	Count	Frequency (%)
A	11	33.3%
u	11	33.3%
g	11	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	99	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	22	22.2%
1	20	20.2%
2	12	12.1%
A	11	11.1%
u	11	11.1%
g	11	11.1%
0	8	8.1%
4	2	2.0%
3	1	1.0%
5	1	1.0%

Importer
Categorical

HIGH CORRELATION UNIFORM UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED	1
S.R.J. ENTERPRISES (PROPRIETARY) LIMITED	1
VISITION ROYAL INVESTMENT (PROPRIETARY0 LIMITED	1
BUILDERS TRADE DEPOT(BOTSWANA)(PTY)LTD	1
BOTGOOD INVESTMENTS (PRPPRIETARY) LIMITED	1
Other values (6)	6

Length

Max length	47
Median length	41
Mean length	38.818182
Min length	30

Characters and Unicode

Total characters	427
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED
2nd row	S.R.J. ENTERPRISES (PROPRIETARY) LIMITED
3rd row	VISITION ROYAL INVESTMENT (PROPRIETARY0 LIMITED
4th row	BUILDERS TRADE DEPOT(BOTSWANA)(PTY)LTD
5th row	BOTGOOD INVESTMENTS (PRPPRIETARY) LIMITED

Common Values

Value	Count	Frequency (%)
WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED	1	9.1%
S.R.J. ENTERPRISES (PROPRIETARY) LIMITED	1	9.1%
VISITION ROYAL INVESTMENT (PROPRIETARY0 LIMITED	1	9.1%
BUILDERS TRADE DEPOT(BOTSWANA)(PTY)LTD	1	9.1%
BOTGOOD INVESTMENTS (PRPPRIETARY) LIMITED	1	9.1%
PRIMEFAST (PROPRIETARY) LIMITED	1	9.1%
CORDNEX ENTERPRISE (PROPRIETARY) LIMITED	1	9.1%
PRIVYTEC (PROPRIETARY) LIMITED	1	9.1%
LOGICAL DEMAND (PROPRIETARY) LIMITED	1	9.1%
HEART OF AFRICA GIFTS (PROPRIETARY) LIMITED	1	9.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
limited	10	22.7%
proprietary	8	18.2%
investments	2	4.5%
woolworths	1	2.3%
prpprietary	1	2.3%
gifts	1	2.3%
africa	1	2.3%
of	1	2.3%
heart	1	2.3%
demand	1	2.3%
Other values (17)	17	38.6%

Most occurring characters

Value	Count	Frequency (%)
I	45	10.5%
R	45	10.5%
T	41	9.6%
E	41	9.6%
	33	7.7%
P	27	6.3%
O	23	5.4%
A	22	5.2%
D	18	4.2%
L	16	3.7%
Other values (18)	116	27.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	366	85.7%
Space Separator	33	7.7%
Open Punctuation	13	3.0%
Close Punctuation	11	2.6%
Other Punctuation	3	0.7%
Decimal Number	1	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
I	45	12.3%
R	45	12.3%
T	41	11.2%
E	41	11.2%
P	27	7.4%
O	23	6.3%
A	22	6.0%
D	18	4.9%
L	16	4.4%
S	16	4.4%
Other values (13)	72	19.7%

Space Separator

Value	Count	Frequency (%)
	33	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	13	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	11	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	3	100.0%

Decimal Number

Value	Count	Frequency (%)
0	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	366	85.7%
Common	61	14.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
I	45	12.3%
R	45	12.3%
T	41	11.2%
E	41	11.2%
P	27	7.4%
O	23	6.3%
A	22	6.0%
D	18	4.9%
L	16	4.4%
S	16	4.4%
Other values (13)	72	19.7%

Common

Value	Count	Frequency (%)
	33	54.1%
(	13	21.3%
)	11	18.0%
.	3	4.9%
0	1	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	427	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	45	10.5%
R	45	10.5%
T	41	9.6%
E	41	9.6%
	33	7.7%
P	27	6.3%
O	23	5.4%
A	22	5.2%
D	18	4.2%
L	16	3.7%
Other values (18)	116	27.2%

Importer Address
Categorical

HIGH CORRELATION UNIFORM

Distinct	10
Distinct (%)	90.9%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

P O BOX 550296	2
P O BOX 500017	1
PO BOX 281	1
P O BOX 70021	1
P.O. Box 50131	1
Other values (5)	5

Length

Max length	17
Median length	14
Mean length	12.909091
Min length	10

Characters and Unicode

Total characters	142
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	81.8%

Sample

1st row	P O BOX 500017
2nd row	PO BOX 281
3rd row	P O BOX 550296
4th row	P O BOX 70021
5th row	P.O. Box 50131

Common Values

Value	Count	Frequency (%)
P O BOX 550296	2	18.2%
P O BOX 500017	1	9.1%
PO BOX 281	1	9.1%
P O BOX 70021	1	9.1%
P.O. Box 50131	1	9.1%
PRIVATE BAG	1	9.1%
P O BOX 19	1	9.1%
P O BOX AD 75 ACJ	1	9.1%
P O BOX 1612	1	9.1%
P.O. Box 1344	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
box	10	24.4%
p	7	17.1%
o	7	17.1%
550296	2	4.9%
p.o	2	4.9%
bag	1	2.4%
1612	1	2.4%
acj	1	2.4%
75	1	2.4%
ad	1	2.4%
Other values (8)	8	19.5%

Most occurring characters

Value	Count	Frequency (%)
	30	21.1%
O	18	12.7%
P	11	7.7%
B	11	7.7%
1	9	6.3%
X	8	5.6%
0	8	5.6%
5	7	4.9%
2	5	3.5%
A	4	2.8%
Other values (18)	31	21.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	61	43.0%
Decimal Number	43	30.3%
Space Separator	30	21.1%
Other Punctuation	4	2.8%
Lowercase Letter	4	2.8%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	18	29.5%
P	11	18.0%
B	11	18.0%
X	8	13.1%
A	4	6.6%
R	1	1.6%
I	1	1.6%
V	1	1.6%
T	1	1.6%
E	1	1.6%
Other values (4)	4	6.6%

Decimal Number

Value	Count	Frequency (%)
1	9	20.9%
0	8	18.6%
5	7	16.3%
2	5	11.6%
9	3	7.0%
6	3	7.0%
7	3	7.0%
3	2	4.7%
4	2	4.7%
8	1	2.3%

Lowercase Letter

Value	Count	Frequency (%)
o	2	50.0%
x	2	50.0%

Space Separator

Value	Count	Frequency (%)
	30	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	77	54.2%
Latin	65	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	18	27.7%
P	11	16.9%
B	11	16.9%
X	8	12.3%
A	4	6.2%
o	2	3.1%
x	2	3.1%
R	1	1.5%
I	1	1.5%
V	1	1.5%
Other values (6)	6	9.2%

Common

Value	Count	Frequency (%)
	30	39.0%
1	9	11.7%
0	8	10.4%
5	7	9.1%
2	5	6.5%
.	4	5.2%
9	3	3.9%
6	3	3.9%
7	3	3.9%
3	2	2.6%
Other values (2)	3	3.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	142	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	30	21.1%
O	18	12.7%
P	11	7.7%
B	11	7.7%
1	9	6.3%
X	8	5.6%
0	8	5.6%
5	7	4.9%
2	5	3.5%
A	4	2.8%
Other values (18)	31	21.8%

Exporter
Categorical

HIGH CORRELATION UNIFORM UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

WOOLWORTHS	1
TRUSEAL	1
YIWU BORZ E-COMMERCE CO LTD	1
GYPROC SAINT GTOBAIN	1
JUDYS PRIDE FASHIONS PTY LTD	1
Other values (6)	6

Length

Max length	54
Median length	20
Mean length	22.272727
Min length	7

Characters and Unicode

Total characters	245
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	WOOLWORTHS
2nd row	TRUSEAL
3rd row	YIWU BORZ E-COMMERCE CO LTD
4th row	GYPROC SAINT GTOBAIN
5th row	JUDYS PRIDE FASHIONS PTY LTD

Common Values

Value	Count	Frequency (%)
WOOLWORTHS	1	9.1%
TRUSEAL	1	9.1%
YIWU BORZ E-COMMERCE CO LTD	1	9.1%
GYPROC SAINT GTOBAIN	1	9.1%
JUDYS PRIDE FASHIONS PTY LTD	1	9.1%
BENDORA BOERDERY	1	9.1%
NUTRI FEEDS PTY LTD	1	9.1%
E-ENERGY HOLDING LTD	1	9.1%
MAANSHAN YINGKAI INTERNATIONAL TRADING COMPANY LIMITED	1	9.1%
OROAFRICA (PTY)LTD	1	9.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
ltd	5	13.9%
e-commerce	2	5.6%
co	2	5.6%
pty	2	5.6%
woolworths	1	2.8%
feeds	1	2.8%
pty)ltd	1	2.8%
oroafrica	1	2.8%
limited	1	2.8%
company	1	2.8%
Other values (19)	19	52.8%

Most occurring characters

Value	Count	Frequency (%)
	25	10.2%
O	19	7.8%
T	18	7.3%
E	18	7.3%
R	17	6.9%
I	16	6.5%
A	15	6.1%
N	15	6.1%
D	14	5.7%
L	11	4.5%
Other values (17)	77	31.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	215	87.8%
Space Separator	25	10.2%
Dash Punctuation	3	1.2%
Open Punctuation	1	0.4%
Close Punctuation	1	0.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
O	19	8.8%
T	18	8.4%
E	18	8.4%
R	17	7.9%
I	16	7.4%
A	15	7.0%
N	15	7.0%
D	14	6.5%
L	11	5.1%
Y	11	5.1%
Other values (13)	61	28.4%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	215	87.8%
Common	30	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	19	8.8%
T	18	8.4%
E	18	8.4%
R	17	7.9%
I	16	7.4%
A	15	7.0%
N	15	7.0%
D	14	6.5%
L	11	5.1%
Y	11	5.1%
Other values (13)	61	28.4%

Common

Value	Count	Frequency (%)
	25	83.3%
-	3	10.0%
(	1	3.3%
)	1	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	245	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	25	10.2%
O	19	7.8%
T	18	7.3%
E	18	7.3%
R	17	6.9%
I	16	6.5%
A	15	6.1%
N	15	6.1%
D	14	5.7%
L	11	4.5%
Other values (17)	77	31.4%

Declarant
Categorical

Distinct	9
Distinct (%)	81.8%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

NOTCHABOVE (PROPRIETARY) LIMITED	2
HYPER TRANSPORT (PROPRIETARY) LIMITED	2
WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED	1
GLOBE-TECH INVESTMENTS (PROPRIETARY) LIMITED	1
BMR AGENTS (PROPRIETARY) LIMITED	1
Other values (4)	4

Length

Max length	44
Median length	41
Mean length	36.818182
Min length	31

Characters and Unicode

Total characters	405
Distinct characters	27
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	63.6%

Sample

1st row	WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED
2nd row	GLOBE-TECH INVESTMENTS (PROPRIETARY) LIMITED
3rd row	NOTCHABOVE (PROPRIETARY) LIMITED
4th row	HYPER TRANSPORT (PROPRIETARY) LIMITED
5th row	BMR AGENTS (PROPRIETARY) LIMITED

Common Values

Value	Count	Frequency (%)
NOTCHABOVE (PROPRIETARY) LIMITED	2	18.2%
HYPER TRANSPORT (PROPRIETARY) LIMITED	2	18.2%
WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED	1	9.1%
GLOBE-TECH INVESTMENTS (PROPRIETARY) LIMITED	1	9.1%
BMR AGENTS (PROPRIETARY) LIMITED	1	9.1%
TIKULE MARKETING (PROPRIETARY) LIMITED	1	9.1%
ONE NATION FREIGTHS (PROPRIETARY) LIMITED	1	9.1%
LONGPOINT (PROPRIETARY) LIMITED	1	9.1%
PINNACLE EXPRESS (PROPRIETARY) LIMITED	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
limited	11	26.2%
proprietary	11	26.2%
notchabove	2	4.8%
hyper	2	4.8%
transport	2	4.8%
marketing	1	2.4%
pinnacle	1	2.4%
longpoint	1	2.4%
freigths	1	2.4%
nation	1	2.4%
Other values (9)	9	21.4%

Most occurring characters

Value	Count	Frequency (%)
R	44	10.9%
I	40	9.9%
T	39	9.6%
E	38	9.4%
	31	7.7%
P	29	7.2%
O	26	6.4%
A	21	5.2%
L	16	4.0%
N	16	4.0%
Other values (17)	105	25.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	349	86.2%
Space Separator	31	7.7%
Open Punctuation	12	3.0%
Close Punctuation	12	3.0%
Dash Punctuation	1	0.2%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
R	44	12.6%
I	40	11.5%
T	39	11.2%
E	38	10.9%
P	29	8.3%
O	26	7.4%
A	21	6.0%
L	16	4.6%
N	16	4.6%
M	14	4.0%
Other values (13)	66	18.9%

Space Separator

Value	Count	Frequency (%)
	31	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	12	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	12	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	349	86.2%
Common	56	13.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
R	44	12.6%
I	40	11.5%
T	39	11.2%
E	38	10.9%
P	29	8.3%
O	26	7.4%
A	21	6.0%
L	16	4.6%
N	16	4.6%
M	14	4.0%
Other values (13)	66	18.9%

Common

Value	Count	Frequency (%)
	31	55.4%
(	12	21.4%
)	12	21.4%
-	1	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	405	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
R	44	10.9%
I	40	9.9%
T	39	9.6%
E	38	9.4%
	31	7.7%
P	29	7.2%
O	26	6.4%
A	21	5.2%
L	16	4.0%
N	16	4.0%
Other values (17)	105	25.9%

Country
Categorical

Distinct	1
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

BOTSWANA	11

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	88
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	BOTSWANA
2nd row	BOTSWANA
3rd row	BOTSWANA
4th row	BOTSWANA
5th row	BOTSWANA

Common Values

Value	Count	Frequency (%)
BOTSWANA	11	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
botswana	11	100.0%

Most occurring characters

Value	Count	Frequency (%)
A	22	25.0%
B	11	12.5%
O	11	12.5%
T	11	12.5%
S	11	12.5%
W	11	12.5%
N	11	12.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	88	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	22	25.0%
B	11	12.5%
O	11	12.5%
T	11	12.5%
S	11	12.5%
W	11	12.5%
N	11	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	22	25.0%
B	11	12.5%
O	11	12.5%
T	11	12.5%
S	11	12.5%
W	11	12.5%
N	11	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	88	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	22	25.0%
B	11	12.5%
O	11	12.5%
T	11	12.5%
S	11	12.5%
W	11	12.5%
N	11	12.5%

ORIGIN Origin Country
Categorical

Distinct	3
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

SOUTH AFRICA	7
CHINA	3
HONG KONG	1

Length

Max length	12
Median length	12
Mean length	9.8181818
Min length	5

Characters and Unicode

Total characters	108
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	9.1%

Sample

1st row	SOUTH AFRICA
2nd row	SOUTH AFRICA
3rd row	CHINA
4th row	SOUTH AFRICA
5th row	SOUTH AFRICA

Common Values

Value	Count	Frequency (%)
SOUTH AFRICA	7	63.6%
CHINA	3	27.3%
HONG KONG	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
south	7	36.8%
africa	7	36.8%
china	3	15.8%
hong	1	5.3%
kong	1	5.3%

Most occurring characters

Value	Count	Frequency (%)
A	17	15.7%
H	11	10.2%
I	10	9.3%
C	10	9.3%
O	9	8.3%
	8	7.4%
S	7	6.5%
U	7	6.5%
T	7	6.5%
F	7	6.5%
Other values (4)	15	13.9%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	100	92.6%
Space Separator	8	7.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	17	17.0%
H	11	11.0%
I	10	10.0%
C	10	10.0%
O	9	9.0%
S	7	7.0%
U	7	7.0%
T	7	7.0%
F	7	7.0%
R	7	7.0%
Other values (3)	8	8.0%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100	92.6%
Common	8	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	17	17.0%
H	11	11.0%
I	10	10.0%
C	10	10.0%
O	9	9.0%
S	7	7.0%
U	7	7.0%
T	7	7.0%
F	7	7.0%
R	7	7.0%
Other values (3)	8	8.0%

Common

Value	Count	Frequency (%)
	8	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	17	15.7%
H	11	10.2%
I	10	9.3%
C	10	9.3%
O	9	8.3%
	8	7.4%
S	7	6.5%
U	7	6.5%
T	7	6.5%
F	7	6.5%
Other values (4)	15	13.9%

Origin Country
Categorical

Distinct	3
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

South Africa	7
China	3
Hong Kong	1

Length

Max length	12
Median length	12
Mean length	9.8181818
Min length	5

Characters and Unicode

Total characters	108
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	9.1%

Sample

1st row	South Africa
2nd row	South Africa
3rd row	China
4th row	South Africa
5th row	South Africa

Common Values

Value	Count	Frequency (%)
South Africa	7	63.6%
China	3	27.3%
Hong Kong	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
south	7	36.8%
africa	7	36.8%
china	3	15.8%
hong	1	5.3%
kong	1	5.3%

Most occurring characters

Value	Count	Frequency (%)
a	10	9.3%
h	10	9.3%
i	10	9.3%
o	9	8.3%
	8	7.4%
S	7	6.5%
c	7	6.5%
r	7	6.5%
f	7	6.5%
A	7	6.5%
Other values (7)	26	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	81	75.0%
Uppercase Letter	19	17.6%
Space Separator	8	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	10	12.3%
h	10	12.3%
i	10	12.3%
o	9	11.1%
c	7	8.6%
r	7	8.6%
f	7	8.6%
t	7	8.6%
u	7	8.6%
n	5	6.2%

Uppercase Letter

Value	Count	Frequency (%)
S	7	36.8%
A	7	36.8%
C	3	15.8%
H	1	5.3%
K	1	5.3%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100	92.6%
Common	8	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	10	10.0%
h	10	10.0%
i	10	10.0%
o	9	9.0%
S	7	7.0%
c	7	7.0%
r	7	7.0%
f	7	7.0%
A	7	7.0%
t	7	7.0%
Other values (6)	19	19.0%

Common

Value	Count	Frequency (%)
	8	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	10	9.3%
h	10	9.3%
i	10	9.3%
o	9	8.3%
	8	7.4%
S	7	6.5%
c	7	6.5%
r	7	6.5%
f	7	6.5%
A	7	6.5%
Other values (7)	26	24.1%

Export Country
Categorical

Distinct	3
Distinct (%)	27.3%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

South Africa	7
China	3
Hong Kong	1

Length

Max length	12
Median length	12
Mean length	9.8181818
Min length	5

Characters and Unicode

Total characters	108
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	9.1%

Sample

1st row	South Africa
2nd row	South Africa
3rd row	China
4th row	South Africa
5th row	South Africa

Common Values

Value	Count	Frequency (%)
South Africa	7	63.6%
China	3	27.3%
Hong Kong	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
south	7	36.8%
africa	7	36.8%
china	3	15.8%
hong	1	5.3%
kong	1	5.3%

Most occurring characters

Value	Count	Frequency (%)
a	10	9.3%
h	10	9.3%
i	10	9.3%
o	9	8.3%
	8	7.4%
S	7	6.5%
c	7	6.5%
r	7	6.5%
f	7	6.5%
A	7	6.5%
Other values (7)	26	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	81	75.0%
Uppercase Letter	19	17.6%
Space Separator	8	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	10	12.3%
h	10	12.3%
i	10	12.3%
o	9	11.1%
c	7	8.6%
r	7	8.6%
f	7	8.6%
t	7	8.6%
u	7	8.6%
n	5	6.2%

Uppercase Letter

Value	Count	Frequency (%)
S	7	36.8%
A	7	36.8%
C	3	15.8%
H	1	5.3%
K	1	5.3%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	100	92.6%
Common	8	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	10	10.0%
h	10	10.0%
i	10	10.0%
o	9	9.0%
S	7	7.0%
c	7	7.0%
r	7	7.0%
f	7	7.0%
A	7	7.0%
t	7	7.0%
Other values (6)	19	19.0%

Common

Value	Count	Frequency (%)
	8	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	10	9.3%
h	10	9.3%
i	10	9.3%
o	9	8.3%
	8	7.4%
S	7	6.5%
c	7	6.5%
r	7	6.5%
f	7	6.5%
A	7	6.5%
Other values (7)	26	24.1%

Destination Country
Categorical

Distinct	1
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

Botswana	11

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	88
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Botswana
2nd row	Botswana
3rd row	Botswana
4th row	Botswana
5th row	Botswana

Common Values

Value	Count	Frequency (%)
Botswana	11	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
botswana	11	100.0%

Most occurring characters

Value	Count	Frequency (%)
a	22	25.0%
B	11	12.5%
o	11	12.5%
t	11	12.5%
s	11	12.5%
w	11	12.5%
n	11	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	77	87.5%
Uppercase Letter	11	12.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	22	28.6%
o	11	14.3%
t	11	14.3%
s	11	14.3%
w	11	14.3%
n	11	14.3%

Uppercase Letter

Value	Count	Frequency (%)
B	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	88	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	22	25.0%
B	11	12.5%
o	11	12.5%
t	11	12.5%
s	11	12.5%
w	11	12.5%
n	11	12.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	88	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	22	25.0%
B	11	12.5%
o	11	12.5%
t	11	12.5%
s	11	12.5%
w	11	12.5%
n	11	12.5%

Port Of Entry
Categorical

Distinct	5
Distinct (%)	45.5%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

Tlokweng Gate	3
GABCON	3
Ramatlabama Borderpost	2
Pioneer Gate	2
Sir Seretse Khama Airport	1

Length

Max length	25
Median length	22
Mean length	13.636364
Min length	6

Characters and Unicode

Total characters	150
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	9.1%

Sample

1st row	Tlokweng Gate
2nd row	Tlokweng Gate
3rd row	GABCON
4th row	Ramatlabama Borderpost
5th row	Tlokweng Gate

Common Values

Value	Count	Frequency (%)
Tlokweng Gate	3	27.3%
GABCON	3	27.3%
Ramatlabama Borderpost	2	18.2%
Pioneer Gate	2	18.2%
Sir Seretse Khama Airport	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gate	5	23.8%
tlokweng	3	14.3%
gabcon	3	14.3%
ramatlabama	2	9.5%
borderpost	2	9.5%
pioneer	2	9.5%
sir	1	4.8%
seretse	1	4.8%
khama	1	4.8%
airport	1	4.8%

Most occurring characters

Value	Count	Frequency (%)
e	17	11.3%
a	17	11.3%
t	11	7.3%
o	10	6.7%
	10	6.7%
r	10	6.7%
G	8	5.3%
m	5	3.3%
n	5	3.3%
B	5	3.3%
Other values (19)	52	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104	69.3%
Uppercase Letter	36	24.0%
Space Separator	10	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17	16.3%
a	17	16.3%
t	11	10.6%
o	10	9.6%
r	10	9.6%
m	5	4.8%
n	5	4.8%
l	5	4.8%
i	4	3.8%
s	3	2.9%
Other values (7)	17	16.3%

Uppercase Letter

Value	Count	Frequency (%)
G	8	22.2%
B	5	13.9%
A	4	11.1%
T	3	8.3%
C	3	8.3%
N	3	8.3%
O	3	8.3%
R	2	5.6%
P	2	5.6%
S	2	5.6%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140	93.3%
Common	10	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	17	12.1%
a	17	12.1%
t	11	7.9%
o	10	7.1%
r	10	7.1%
G	8	5.7%
m	5	3.6%
n	5	3.6%
B	5	3.6%
l	5	3.6%
Other values (18)	47	33.6%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	17	11.3%
a	17	11.3%
t	11	7.3%
o	10	6.7%
	10	6.7%
r	10	6.7%
G	8	5.3%
m	5	3.3%
n	5	3.3%
B	5	3.3%
Other values (19)	52	34.7%

Place Of Discharge
Categorical

Distinct	5
Distinct (%)	45.5%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

Tlokweng Gate	3
GABCON	3
Ramatlabama Borderpost	2
Pioneer Gate	2
Sir Seretse Khama Airport	1

Length

Max length	25
Median length	22
Mean length	13.636364
Min length	6

Characters and Unicode

Total characters	150
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	9.1%

Sample

1st row	Tlokweng Gate
2nd row	Tlokweng Gate
3rd row	GABCON
4th row	Ramatlabama Borderpost
5th row	Tlokweng Gate

Common Values

Value	Count	Frequency (%)
Tlokweng Gate	3	27.3%
GABCON	3	27.3%
Ramatlabama Borderpost	2	18.2%
Pioneer Gate	2	18.2%
Sir Seretse Khama Airport	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gate	5	23.8%
tlokweng	3	14.3%
gabcon	3	14.3%
ramatlabama	2	9.5%
borderpost	2	9.5%
pioneer	2	9.5%
sir	1	4.8%
seretse	1	4.8%
khama	1	4.8%
airport	1	4.8%

Most occurring characters

Value	Count	Frequency (%)
e	17	11.3%
a	17	11.3%
t	11	7.3%
o	10	6.7%
	10	6.7%
r	10	6.7%
G	8	5.3%
m	5	3.3%
n	5	3.3%
B	5	3.3%
Other values (19)	52	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	104	69.3%
Uppercase Letter	36	24.0%
Space Separator	10	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17	16.3%
a	17	16.3%
t	11	10.6%
o	10	9.6%
r	10	9.6%
m	5	4.8%
n	5	4.8%
l	5	4.8%
i	4	3.8%
s	3	2.9%
Other values (7)	17	16.3%

Uppercase Letter

Value	Count	Frequency (%)
G	8	22.2%
B	5	13.9%
A	4	11.1%
T	3	8.3%
C	3	8.3%
N	3	8.3%
O	3	8.3%
R	2	5.6%
P	2	5.6%
S	2	5.6%

Space Separator

Value	Count	Frequency (%)
	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	140	93.3%
Common	10	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	17	12.1%
a	17	12.1%
t	11	7.9%
o	10	7.1%
r	10	7.1%
G	8	5.7%
m	5	3.6%
n	5	3.6%
B	5	3.6%
l	5	3.6%
Other values (18)	47	33.6%

Common

Value	Count	Frequency (%)
	10	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	150	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	17	11.3%
a	17	11.3%
t	11	7.3%
o	10	6.7%
	10	6.7%
r	10	6.7%
G	8	5.3%
m	5	3.3%
n	5	3.3%
B	5	3.3%
Other values (19)	52	34.7%

Hs Code
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	53017947

Minimum	3063900
Maximum	96085000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	3063900
5-th percentile	7596950
Q1	31184091
median	44189900
Q3	84989510
95-th percentile	91584002
Maximum	96085000
Range	93021100
Interquartile range (IQR)	53805419

Descriptive statistics

Standard deviation	32836735
Coefficient of variation (CV)	0.61935131
Kurtosis	-1.5140027
Mean	53017947
Median Absolute Deviation (MAD)	32059900
Skewness	-0.12759858
Sum	5.8319742 × 10⁸
Variance	1.0782511 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
3063900	1	9.1%
40169310	1	9.1%
84688000	1	9.1%
44189900	1	9.1%
68129100	1	9.1%
12130000	1	9.1%
23099092	1	9.1%
85291020	1	9.1%
39269090	1	9.1%
96085000	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3063900	1	9.1%
12130000	1	9.1%
23099092	1	9.1%
39269090	1	9.1%
40169310	1	9.1%
44189900	1	9.1%
68129100	1	9.1%
84688000	1	9.1%
85291020	1	9.1%
87083003	1	9.1%

Value	Count	Frequency (%)
96085000	1	9.1%
87083003	1	9.1%
85291020	1	9.1%
84688000	1	9.1%
68129100	1	9.1%
44189900	1	9.1%
40169310	1	9.1%
39269090	1	9.1%
23099092	1	9.1%
12130000	1	9.1%

Hs Code Description
Categorical

HIGH CORRELATION UNIFORM UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

Other, including flour, meals and pellets of crustaceans fit for human	1
Identifiable as integral parts of industrial machinery	1
Other machinery and apparatus	1
Other builders' joinery and carpentry of wood, including cellular wood	1
Clothing, clothing accessories, footwear and headgear	1
Other values (6)	6

Length

Max length	77
Median length	62
Mean length	57.545455
Min length	24

Characters and Unicode

Total characters	633
Distinct characters	37
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	Other, including flour, meals and pellets of crustaceans fit for human
2nd row	Identifiable as integral parts of industrial machinery
3rd row	Other machinery and apparatus
4th row	Other builders' joinery and carpentry of wood, including cellular wood
5th row	Clothing, clothing accessories, footwear and headgear

Common Values

Value	Count	Frequency (%)
Other, including flour, meals and pellets of crustaceans fit for human	1	9.1%
Identifiable as integral parts of industrial machinery	1	9.1%
Other machinery and apparatus	1	9.1%
Other builders' joinery and carpentry of wood, including cellular wood	1	9.1%
Clothing, clothing accessories, footwear and headgear	1	9.1%
Cereal straw and husks, unprepared, whether or not chopped, ground,	1	9.1%
Other Preparations of a kind used in animal feeding	1	9.1%
Other aerials for reception apparatus for television, whether or not capable	1	9.1%
Other articles of plastics and articles of other materials of headings .39.01	1	9.1%
Sets of articles from two or more of the foregoing subheadings	1	9.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	9	9.5%
other	7	7.4%
and	6	6.3%
articles	3	3.2%
or	3	3.2%
for	3	3.2%
machinery	2	2.1%
not	2	2.1%
including	2	2.1%
clothing	2	2.1%
Other values (53)	56	58.9%

Most occurring characters

Value	Count	Frequency (%)
	84	13.3%
e	56	8.8%
a	51	8.1%
r	49	7.7%
o	40	6.3%
t	37	5.8%
n	36	5.7%
i	35	5.5%
s	32	5.1%
l	25	3.9%
Other values (27)	188	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	519	82.0%
Space Separator	84	13.3%
Other Punctuation	14	2.2%
Uppercase Letter	12	1.9%
Decimal Number	4	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	56	10.8%
a	51	9.8%
r	49	9.4%
o	40	7.7%
t	37	7.1%
n	36	6.9%
i	35	6.7%
s	32	6.2%
l	25	4.8%
d	24	4.6%
Other values (13)	134	25.8%

Uppercase Letter

Value	Count	Frequency (%)
O	6	50.0%
C	2	16.7%
I	1	8.3%
P	1	8.3%
S	1	8.3%
D	1	8.3%

Decimal Number

Value	Count	Frequency (%)
3	1	25.0%
9	1	25.0%
0	1	25.0%
1	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
,	11	78.6%
.	2	14.3%
'	1	7.1%

Space Separator

Value	Count	Frequency (%)
	84	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	531	83.9%
Common	102	16.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	56	10.5%
a	51	9.6%
r	49	9.2%
o	40	7.5%
t	37	7.0%
n	36	6.8%
i	35	6.6%
s	32	6.0%
l	25	4.7%
d	24	4.5%
Other values (19)	146	27.5%

Common

Value	Count	Frequency (%)
	84	82.4%
,	11	10.8%
.	2	2.0%
'	1	1.0%
3	1	1.0%
9	1	1.0%
0	1	1.0%
1	1	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	633	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	84	13.3%
e	56	8.8%
a	51	8.1%
r	49	7.7%
o	40	6.3%
t	37	5.8%
n	36	5.7%
i	35	5.5%
s	32	5.1%
l	25	3.9%
Other values (27)	188	29.7%

Commercial Description
Categorical

HIGH CORRELATION UNIFORM UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

Other, including flours, meals and pellets of crustaceans, fit for human	1
SEAL	1
MINI ELECTRIC WELDING MACHINE	1
CORNICE	1
OTHER	1
Other values (6)	6

Length

Max length	72
Median length	21
Mean length	23.454545
Min length	4

Characters and Unicode

Total characters	258
Distinct characters	43
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	100.0%

Sample

1st row	Other, including flours, meals and pellets of crustaceans, fit for human
2nd row	SEAL
3rd row	MINI ELECTRIC WELDING MACHINE
4th row	CORNICE
5th row	OTHER

Common Values

Value	Count	Frequency (%)
Other, including flours, meals and pellets of crustaceans, fit for human	1	9.1%
SEAL	1	9.1%
MINI ELECTRIC WELDING MACHINE	1	9.1%
CORNICE	1	9.1%
OTHER	1	9.1%
WHEAT STRAW	1	9.1%
TUB ENERGY,PROTEIN ENERY AND TUB PHOSPHATE. NO BOBS REQUIRED	1	9.1%
MI BOX S EU	1	9.1%
FRESHNESS PROTECTION PACKAGE	1	9.1%
GIFTS SETS	1	9.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
other	2	4.9%
and	2	4.9%
tub	2	4.9%
meals	1	2.4%
eu	1	2.4%
no	1	2.4%
bobs	1	2.4%
required	1	2.4%
mi	1	2.4%
box	1	2.4%
Other values (28)	28	68.3%

Most occurring characters

Value	Count	Frequency (%)
	30	11.6%
E	24	9.3%
S	13	5.0%
R	13	5.0%
T	12	4.7%
I	12	4.7%
N	11	4.3%
A	11	4.3%
O	10	3.9%
C	8	3.1%
Other values (33)	114	44.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	164	63.6%
Lowercase Letter	58	22.5%
Space Separator	30	11.6%
Other Punctuation	6	2.3%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
E	24	14.6%
S	13	7.9%
R	13	7.9%
T	12	7.3%
I	12	7.3%
N	11	6.7%
A	11	6.7%
O	10	6.1%
C	8	4.9%
B	7	4.3%
Other values (13)	43	26.2%

Lowercase Letter

Value	Count	Frequency (%)
a	5	8.6%
e	5	8.6%
n	5	8.6%
l	5	8.6%
s	5	8.6%
t	4	6.9%
f	4	6.9%
u	4	6.9%
r	4	6.9%
c	3	5.2%
Other values (7)	14	24.1%

Other Punctuation

Value	Count	Frequency (%)
,	5	83.3%
.	1	16.7%

Space Separator

Value	Count	Frequency (%)
	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222	86.0%
Common	36	14.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
E	24	10.8%
S	13	5.9%
R	13	5.9%
T	12	5.4%
I	12	5.4%
N	11	5.0%
A	11	5.0%
O	10	4.5%
C	8	3.6%
B	7	3.2%
Other values (30)	101	45.5%

Common

Value	Count	Frequency (%)
	30	83.3%
,	5	13.9%
.	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	258	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	30	11.6%
E	24	9.3%
S	13	5.0%
R	13	5.0%
T	12	4.7%
I	12	4.7%
N	11	4.3%
A	11	4.3%
O	10	3.9%
C	8	3.1%
Other values (33)	114	44.2%

Gross Weight
Real number (ℝ)

Distinct	10
Distinct (%)	90.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5483.3909

Minimum	0.04
Maximum	34000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	0.04
5-th percentile	1.52
Q1	9.88
median	40.08
Q3	3245.71
95-th percentile	26805.5
Maximum	34000
Range	33999.96
Interquartile range (IQR)	3235.83

Descriptive statistics

Standard deviation	11140.933
Coefficient of variation (CV)	2.0317597
Kurtosis	4.2554415
Mean	5483.3909
Median Absolute Deviation (MAD)	40.04
Skewness	2.1904773
Sum	60317.3
Variance	1.2412039 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	2	18.2%
16.76	1	9.1%
20	1	9.1%
5511.42	1	9.1%
40.08	1	9.1%
19611	1	9.1%
34000	1	9.1%
132	1	9.1%
0.04	1	9.1%
980	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.04	1	9.1%
3	2	18.2%
16.76	1	9.1%
20	1	9.1%
40.08	1	9.1%
132	1	9.1%
980	1	9.1%
5511.42	1	9.1%
19611	1	9.1%
34000	1	9.1%

Value	Count	Frequency (%)
34000	1	9.1%
19611	1	9.1%
5511.42	1	9.1%
980	1	9.1%
132	1	9.1%
40.08	1	9.1%
20	1	9.1%
16.76	1	9.1%
3	2	18.2%
0.04	1	9.1%

Gross Weight UOM
Categorical

Distinct	1
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

KGM	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	33
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	KGM
2nd row	KGM
3rd row	KGM
4th row	KGM
5th row	KGM

Common Values

Value	Count	Frequency (%)
KGM	11	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kgm	11	100.0%

Most occurring characters

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	33	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Net Weight
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5483.1809

Minimum	0.04
Maximum	34000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	0.04
5-th percentile	1.365
Q1	9.88
median	40.08
Q3	3245.21
95-th percentile	26805
Maximum	34000
Range	33999.96
Interquartile range (IQR)	3235.33

Descriptive statistics

Standard deviation	11140.821
Coefficient of variation (CV)	2.0318172
Kurtosis	4.2558956
Mean	5483.1809
Median Absolute Deviation (MAD)	40.04
Skewness	2.1905569
Sum	60314.99
Variance	1.241179 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
16.76	1	9.1%
20	1	9.1%
3	1	9.1%
5510.42	1	9.1%
40.08	1	9.1%
19610	1	9.1%
34000	1	9.1%
2.69	1	9.1%
132	1	9.1%
0.04	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.04	1	9.1%
2.69	1	9.1%
3	1	9.1%
16.76	1	9.1%
20	1	9.1%
40.08	1	9.1%
132	1	9.1%
980	1	9.1%
5510.42	1	9.1%
19610	1	9.1%

Value	Count	Frequency (%)
34000	1	9.1%
19610	1	9.1%
5510.42	1	9.1%
980	1	9.1%
132	1	9.1%
40.08	1	9.1%
20	1	9.1%
16.76	1	9.1%
3	1	9.1%
2.69	1	9.1%

Net Weight UOM
Categorical

Distinct	1
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

KGM	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	33
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	KGM
2nd row	KGM
3rd row	KGM
4th row	KGM
5th row	KGM

Common Values

Value	Count	Frequency (%)
KGM	11	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kgm	11	100.0%

Most occurring characters

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	33	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	33	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
K	11	33.3%
G	11	33.3%
M	11	33.3%

Quantity
Real number (ℝ)

Distinct	10
Distinct (%)	90.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4211.2273

Minimum	1
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	1
5-th percentile	5.5
Q1	20
median	132
Q3	3095.21
95-th percentile	19805
Maximum	20000
Range	19999
Interquartile range (IQR)	3075.21

Descriptive statistics

Standard deviation	7876.6146
Coefficient of variation (CV)	1.8703846
Kurtosis	1.5768296
Mean	4211.2273
Median Absolute Deviation (MAD)	131
Skewness	1.7630623
Sum	46323.5
Variance	62041057
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
10	2	18.2%
30	1	9.1%
20000	1	9.1%
1	1	9.1%
5510.42	1	9.1%
40.08	1	9.1%
19610	1	9.1%
680	1	9.1%
132	1	9.1%
300	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	9.1%
10	2	18.2%
30	1	9.1%
40.08	1	9.1%
132	1	9.1%
300	1	9.1%
680	1	9.1%
5510.42	1	9.1%
19610	1	9.1%
20000	1	9.1%

Value	Count	Frequency (%)
20000	1	9.1%
19610	1	9.1%
5510.42	1	9.1%
680	1	9.1%
300	1	9.1%
132	1	9.1%
40.08	1	9.1%
30	1	9.1%
10	2	18.2%
1	1	9.1%

Quantity UOM
Categorical

Distinct	2
Distinct (%)	18.2%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

KGM	9
EA	2

Length

Max length	3
Median length	3
Mean length	2.8181818
Min length	2

Characters and Unicode

Total characters	31
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	KGM
2nd row	KGM
3rd row	EA
4th row	KGM
5th row	KGM

Common Values

Value	Count	Frequency (%)
KGM	9	81.8%
EA	2	18.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
kgm	9	81.8%
ea	2	18.2%

Most occurring characters

Value	Count	Frequency (%)
K	9	29.0%
G	9	29.0%
M	9	29.0%
E	2	6.5%
A	2	6.5%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	31	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
K	9	29.0%
G	9	29.0%
M	9	29.0%
E	2	6.5%
A	2	6.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	31	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
K	9	29.0%
G	9	29.0%
M	9	29.0%
E	2	6.5%
A	2	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
K	9	29.0%
G	9	29.0%
M	9	29.0%
E	2	6.5%
A	2	6.5%

No Of Packages
Real number (ℝ)

Distinct	9
Distinct (%)	81.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1894

Minimum	1
Maximum	20000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	10
median	17
Q3	41
95-th percentile	10340
Maximum	20000
Range	19999
Interquartile range (IQR)	31

Descriptive statistics

Standard deviation	6008.3897
Coefficient of variation (CV)	3.1723282
Kurtosis	10.967523
Mean	1894
Median Absolute Deviation (MAD)	13
Skewness	3.3100497
Sum	20834
Variance	36100747
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	2	18.2%
10	2	18.2%
30	1	9.1%
20000	1	9.1%
13	1	9.1%
17	1	9.1%
52	1	9.1%
680	1	9.1%
20	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2	18.2%
10	2	18.2%
13	1	9.1%
17	1	9.1%
20	1	9.1%
30	1	9.1%
52	1	9.1%
680	1	9.1%
20000	1	9.1%

Value	Count	Frequency (%)
20000	1	9.1%
680	1	9.1%
52	1	9.1%
30	1	9.1%
20	1	9.1%
17	1	9.1%
13	1	9.1%
10	2	18.2%
1	2	18.2%

Package Type
Categorical

Distinct	5
Distinct (%)	45.5%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

EACH	4
CARTONS	4
KEG	1
BALE,COMPRESSED	1
BAG	1

Length

Max length	15
Median length	7
Mean length	5.9090909
Min length	3

Characters and Unicode

Total characters	65
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	27.3%

Sample

1st row	EACH
2nd row	KEG
3rd row	CARTONS
4th row	EACH
5th row	CARTONS

Common Values

Value	Count	Frequency (%)
EACH	4	36.4%
CARTONS	4	36.4%
KEG	1	9.1%
BALE,COMPRESSED	1	9.1%
BAG	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
each	4	36.4%
cartons	4	36.4%
keg	1	9.1%
bale,compressed	1	9.1%
bag	1	9.1%

Most occurring characters

Value	Count	Frequency (%)
A	10	15.4%
C	9	13.8%
E	8	12.3%
S	6	9.2%
R	5	7.7%
O	5	7.7%
T	4	6.2%
N	4	6.2%
H	4	6.2%
G	2	3.1%
Other values (7)	8	12.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	64	98.5%
Other Punctuation	1	1.5%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	10	15.6%
C	9	14.1%
E	8	12.5%
S	6	9.4%
R	5	7.8%
O	5	7.8%
T	4	6.2%
N	4	6.2%
H	4	6.2%
G	2	3.1%
Other values (6)	7	10.9%

Other Punctuation

Value	Count	Frequency (%)
,	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	64	98.5%
Common	1	1.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	10	15.6%
C	9	14.1%
E	8	12.5%
S	6	9.4%
R	5	7.8%
O	5	7.8%
T	4	6.2%
N	4	6.2%
H	4	6.2%
G	2	3.1%
Other values (6)	7	10.9%

Common

Value	Count	Frequency (%)
,	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	10	15.4%
C	9	13.8%
E	8	12.3%
S	6	9.2%
R	5	7.7%
O	5	7.7%
T	4	6.2%
N	4	6.2%
H	4	6.2%
G	2	3.1%
Other values (7)	8	12.3%

Customs Value Bwp
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18773.648

Minimum	46.04
Maximum	123099
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	46.04
5-th percentile	260.325
Q1	2017.52
median	5176.2
Q3	17060.025
95-th percentile	77283.5
Maximum	123099
Range	123052.96
Interquartile range (IQR)	15042.505

Descriptive statistics

Standard deviation	36215.27
Coefficient of variation (CV)	1.9290481
Kurtosis	8.519861
Mean	18773.648
Median Absolute Deviation (MAD)	3367.28
Skewness	2.8440034
Sum	206510.13
Variance	1.3115457 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1808.92	1	9.1%
2370.89	1	9.1%
46.04	1	9.1%
31468	1	9.1%
7233.35	1	9.1%
26886.7	1	9.1%
123099	1	9.1%
5176.2	1	9.1%
474.61	1	9.1%
5720.3	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
46.04	1	9.1%
474.61	1	9.1%
1808.92	1	9.1%
2226.12	1	9.1%
2370.89	1	9.1%
5176.2	1	9.1%
5720.3	1	9.1%
7233.35	1	9.1%
26886.7	1	9.1%
31468	1	9.1%

Value	Count	Frequency (%)
123099	1	9.1%
31468	1	9.1%
26886.7	1	9.1%
7233.35	1	9.1%
5720.3	1	9.1%
5176.2	1	9.1%
2370.89	1	9.1%
2226.12	1	9.1%
1808.92	1	9.1%
474.61	1	9.1%

Customs value USD
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1698.4982

Minimum	4.17
Maximum	11137.07
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	4.17
5-th percentile	23.555
Q1	182.53
median	468.3
Q3	1543.46
95-th percentile	6992.03
Maximum	11137.07
Range	11132.9
Interquartile range (IQR)	1360.93

Descriptive statistics

Standard deviation	3276.4845
Coefficient of variation (CV)	1.929048
Kurtosis	8.5198647
Mean	1698.4982
Median Absolute Deviation (MAD)	304.64
Skewness	2.8440042
Sum	18683.48
Variance	10735351
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
163.66	1	9.1%
214.5	1	9.1%
4.17	1	9.1%
2846.99	1	9.1%
654.42	1	9.1%
2432.5	1	9.1%
11137.07	1	9.1%
468.3	1	9.1%
42.94	1	9.1%
517.53	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4.17	1	9.1%
42.94	1	9.1%
163.66	1	9.1%
201.4	1	9.1%
214.5	1	9.1%
468.3	1	9.1%
517.53	1	9.1%
654.42	1	9.1%
2432.5	1	9.1%
2846.99	1	9.1%

Value	Count	Frequency (%)
11137.07	1	9.1%
2846.99	1	9.1%
2432.5	1	9.1%
654.42	1	9.1%
517.53	1	9.1%
468.3	1	9.1%
214.5	1	9.1%
201.4	1	9.1%
163.66	1	9.1%
42.94	1	9.1%

Declaration Office
Categorical

Distinct	5
Distinct (%)	45.5%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

Tlokweng Gate	3
GABCON	3
Ramatlabama Borderpost	2
Pioneer Gate	2
Sir Seretse Khama	1

Length

Max length	22
Median length	17
Mean length	12.909091
Min length	6

Characters and Unicode

Total characters	142
Distinct characters	29
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	9.1%

Sample

1st row	Tlokweng Gate
2nd row	Tlokweng Gate
3rd row	GABCON
4th row	Ramatlabama Borderpost
5th row	Tlokweng Gate

Common Values

Value	Count	Frequency (%)
Tlokweng Gate	3	27.3%
GABCON	3	27.3%
Ramatlabama Borderpost	2	18.2%
Pioneer Gate	2	18.2%
Sir Seretse Khama	1	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gate	5	25.0%
tlokweng	3	15.0%
gabcon	3	15.0%
ramatlabama	2	10.0%
borderpost	2	10.0%
pioneer	2	10.0%
sir	1	5.0%
seretse	1	5.0%
khama	1	5.0%

Most occurring characters

Value	Count	Frequency (%)
e	17	12.0%
a	17	12.0%
t	10	7.0%
o	9	6.3%
	9	6.3%
r	8	5.6%
G	8	5.6%
n	5	3.5%
m	5	3.5%
B	5	3.5%
Other values (19)	49	34.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	98	69.0%
Uppercase Letter	35	24.6%
Space Separator	9	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17	17.3%
a	17	17.3%
t	10	10.2%
o	9	9.2%
r	8	8.2%
n	5	5.1%
m	5	5.1%
l	5	5.1%
i	3	3.1%
s	3	3.1%
Other values (7)	16	16.3%

Uppercase Letter

Value	Count	Frequency (%)
G	8	22.9%
B	5	14.3%
T	3	8.6%
N	3	8.6%
C	3	8.6%
O	3	8.6%
A	3	8.6%
R	2	5.7%
P	2	5.7%
S	2	5.7%

Space Separator

Value	Count	Frequency (%)
	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	133	93.7%
Common	9	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	17	12.8%
a	17	12.8%
t	10	7.5%
o	9	6.8%
r	8	6.0%
G	8	6.0%
n	5	3.8%
m	5	3.8%
B	5	3.8%
l	5	3.8%
Other values (18)	44	33.1%

Common

Value	Count	Frequency (%)
	9	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	142	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	17	12.0%
a	17	12.0%
t	10	7.0%
o	9	6.3%
	9	6.3%
r	8	5.6%
G	8	5.6%
n	5	3.5%
m	5	3.5%
B	5	3.5%
Other values (19)	49	34.5%

Invoice Amount BWP
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	67771.191

Minimum	2370.89
Maximum	158701.64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	2370.89
5-th percentile	3773.545
Q1	6597.05
median	64056.13
Q3	121122.31
95-th percentile	140900.43
Maximum	158701.64
Range	156330.75
Interquartile range (IQR)	114525.26

Descriptive statistics

Standard deviation	60128.969
Coefficient of variation (CV)	0.88723495
Kurtosis	-1.9004183
Mean	67771.191
Median Absolute Deviation (MAD)	58095.38
Skewness	0.1395394
Sum	745483.1
Variance	3.6154929 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
109753.6	1	9.1%
2370.89	1	9.1%
122562.93	1	9.1%
158701.64	1	9.1%
7233.35	1	9.1%
26886.71	1	9.1%
123099.21	1	9.1%
5176.2	1	9.1%
64056.13	1	9.1%
5960.75	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2370.89	1	9.1%
5176.2	1	9.1%
5960.75	1	9.1%
7233.35	1	9.1%
26886.71	1	9.1%
64056.13	1	9.1%
109753.6	1	9.1%
119681.69	1	9.1%
122562.93	1	9.1%
123099.21	1	9.1%

Value	Count	Frequency (%)
158701.64	1	9.1%
123099.21	1	9.1%
122562.93	1	9.1%
119681.69	1	9.1%
109753.6	1	9.1%
64056.13	1	9.1%
26886.71	1	9.1%
7233.35	1	9.1%
5960.75	1	9.1%
5176.2	1	9.1%

Freight BWP
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27273.927

Minimum	113.67
Maximum	104123.21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	113.67
5-th percentile	116.105
Q1	853
median	6154.96
Q3	46571.435
95-th percentile	93577.435
Maximum	104123.21
Range	104009.54
Interquartile range (IQR)	45718.435

Descriptive statistics

Standard deviation	37900.902
Coefficient of variation (CV)	1.3896386
Kurtosis	0.13374492
Mean	27273.927
Median Absolute Deviation (MAD)	6036.42
Skewness	1.2389952
Sum	300013.2
Variance	1.4364783 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
33767.55	1	9.1%
118.54	1	9.1%
59375.32	1	9.1%
10190.57	1	9.1%
361.67	1	9.1%
1344.33	1	9.1%
6154.96	1	9.1%
1431.72	1	9.1%
104123.21	1	9.1%
113.67	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
113.67	1	9.1%
118.54	1	9.1%
361.67	1	9.1%
1344.33	1	9.1%
1431.72	1	9.1%
6154.96	1	9.1%
10190.57	1	9.1%
33767.55	1	9.1%
59375.32	1	9.1%
83031.66	1	9.1%

Value	Count	Frequency (%)
104123.21	1	9.1%
83031.66	1	9.1%
59375.32	1	9.1%
33767.55	1	9.1%
10190.57	1	9.1%
6154.96	1	9.1%
1431.72	1	9.1%
1344.33	1	9.1%
361.67	1	9.1%
118.54	1	9.1%

Vat
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2834.9182

Minimum	9.55
Maximum	18095.6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	9.55
5-th percentile	98.65
Q1	339.825
median	816.1
Q3	2511.2
95-th percentile	11392
Maximum	18095.6
Range	18086.05
Interquartile range (IQR)	2171.375

Descriptive statistics

Standard deviation	5293.7954
Coefficient of variation (CV)	1.8673538
Kurtosis	8.5559501
Mean	2834.9182
Median Absolute Deviation (MAD)	484.95
Skewness	2.850109
Sum	31184.1
Variance	28024270
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
331.15	1	9.1%
348.5	1	9.1%
9.55	1	9.1%
4688.4	1	9.1%
1063.3	1	9.1%
3952.35	1	9.1%
18095.6	1	9.1%
1070.05	1	9.1%
187.75	1	9.1%
816.1	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.55	1	9.1%
187.75	1	9.1%
331.15	1	9.1%
348.5	1	9.1%
621.35	1	9.1%
816.1	1	9.1%
1063.3	1	9.1%
1070.05	1	9.1%
3952.35	1	9.1%
4688.4	1	9.1%

Value	Count	Frequency (%)
18095.6	1	9.1%
4688.4	1	9.1%
3952.35	1	9.1%
1070.05	1	9.1%
1063.3	1	9.1%
816.1	1	9.1%
621.35	1	9.1%
348.5	1	9.1%
331.15	1	9.1%
187.75	1	9.1%

Chapter
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.818182

Minimum	3
Maximum	96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	3
5-th percentile	7.5
Q1	31
median	44
Q3	84.5
95-th percentile	91.5
Maximum	96
Range	93
Interquartile range (IQR)	53.5

Descriptive statistics

Standard deviation	32.774436
Coefficient of variation (CV)	0.62051427
Kurtosis	-1.5117724
Mean	52.818182
Median Absolute Deviation (MAD)	32
Skewness	-0.12493625
Sum	581
Variance	1074.1636
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
3	1	9.1%
40	1	9.1%
84	1	9.1%
44	1	9.1%
68	1	9.1%
12	1	9.1%
23	1	9.1%
85	1	9.1%
39	1	9.1%
96	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	9.1%
12	1	9.1%
23	1	9.1%
39	1	9.1%
40	1	9.1%
44	1	9.1%
68	1	9.1%
84	1	9.1%
85	1	9.1%
87	1	9.1%

Value	Count	Frequency (%)
96	1	9.1%
87	1	9.1%
85	1	9.1%
84	1	9.1%
68	1	9.1%
44	1	9.1%
40	1	9.1%
39	1	9.1%
23	1	9.1%
12	1	9.1%

Heading
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5301.1818

Minimum	306
Maximum	9608
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	306
5-th percentile	759.5
Q1	3117.5
median	4418
Q3	8498.5
95-th percentile	9158
Maximum	9608
Range	9302
Interquartile range (IQR)	5381

Descriptive statistics

Standard deviation	3283.691
Coefficient of variation (CV)	0.61942621
Kurtosis	-1.5142387
Mean	5301.1818
Median Absolute Deviation (MAD)	3205
Skewness	-0.12738672
Sum	58313
Variance	10782626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
306	1	9.1%
4016	1	9.1%
8468	1	9.1%
4418	1	9.1%
6812	1	9.1%
1213	1	9.1%
2309	1	9.1%
8529	1	9.1%
3926	1	9.1%
9608	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
306	1	9.1%
1213	1	9.1%
2309	1	9.1%
3926	1	9.1%
4016	1	9.1%
4418	1	9.1%
6812	1	9.1%
8468	1	9.1%
8529	1	9.1%
8708	1	9.1%

Value	Count	Frequency (%)
9608	1	9.1%
8708	1	9.1%
8529	1	9.1%
8468	1	9.1%
6812	1	9.1%
4418	1	9.1%
4016	1	9.1%
3926	1	9.1%
2309	1	9.1%
1213	1	9.1%

Subheading
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	11
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	530179.27

Minimum	30639
Maximum	960850
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	216.0 B

Quantile statistics

Minimum	30639
5-th percentile	75969.5
Q1	311840
median	441899
Q3	849895
95-th percentile	915840
Maximum	960850
Range	930211
Interquartile range (IQR)	538055

Descriptive statistics

Standard deviation	328367.45
Coefficient of variation (CV)	0.61935173
Kurtosis	-1.5140053
Mean	530179.27
Median Absolute Deviation (MAD)	320599
Skewness	-0.12759758
Sum	5831972
Variance	1.0782518 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
30639	1	9.1%
401693	1	9.1%
846880	1	9.1%
441899	1	9.1%
681291	1	9.1%
121300	1	9.1%
230990	1	9.1%
852910	1	9.1%
392690	1	9.1%
960850	1	9.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30639	1	9.1%
121300	1	9.1%
230990	1	9.1%
392690	1	9.1%
401693	1	9.1%
441899	1	9.1%
681291	1	9.1%
846880	1	9.1%
852910	1	9.1%
870830	1	9.1%

Value	Count	Frequency (%)
960850	1	9.1%
870830	1	9.1%
852910	1	9.1%
846880	1	9.1%
681291	1	9.1%
441899	1	9.1%
401693	1	9.1%
392690	1	9.1%
230990	1	9.1%
121300	1	9.1%

Month
Categorical

Distinct	1
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

August	11

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	66
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	August
2nd row	August
3rd row	August
4th row	August
5th row	August

Common Values

Value	Count	Frequency (%)
August	11	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
august	11	100.0%

Most occurring characters

Value	Count	Frequency (%)
u	22	33.3%
A	11	16.7%
g	11	16.7%
s	11	16.7%
t	11	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55	83.3%
Uppercase Letter	11	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	22	40.0%
g	11	20.0%
s	11	20.0%
t	11	20.0%

Uppercase Letter

Value	Count	Frequency (%)
A	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	22	33.3%
A	11	16.7%
g	11	16.7%
s	11	16.7%
t	11	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	22	33.3%
A	11	16.7%
g	11	16.7%
s	11	16.7%
t	11	16.7%

Year
Categorical

Distinct	1
Distinct (%)	9.1%
Missing	0
Missing (%)	0.0%
Memory size	216.0 B

2021	11

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	44
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2021
2nd row	2021
3rd row	2021
4th row	2021
5th row	2021

Common Values

Value	Count	Frequency (%)
2021	11	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2021	11	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	22	50.0%
0	11	25.0%
1	11	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	44	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	22	50.0%
0	11	25.0%
1	11	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	44	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	22	50.0%
0	11	25.0%
1	11	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	22	50.0%
0	11	25.0%
1	11	25.0%

Auto

Heatmap
Table

	Hs Code	Gross Weight	Net Weight	Quantity	No Of Packages	Customs Value Bwp	Customs value USD	Invoice Amount BWP	Freight BWP	Vat	Chapter	Heading	Subheading	Date	Importer	Importer Address	Exporter	Declarant	ORIGIN Origin Country	Origin Country	Export Country	Port Of Entry	Place Of Discharge	Hs Code Description	Commercial Description	Quantity UOM	Package Type	Declaration Office
Hs Code	1.000	-0.515	-0.518	-0.474	-0.594	-0.127	-0.127	-0.209	-0.155	-0.082	1.000	1.000	1.000	0.000	1.000	0.333	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000
Gross Weight	-0.515	1.000	0.998	0.760	0.581	0.551	0.551	0.515	0.237	0.560	-0.515	-0.515	-0.515	0.551	1.000	0.577	1.000	0.000	0.000	0.000	0.000	0.336	0.336	1.000	1.000	0.000	0.675	0.336
Net Weight	-0.518	0.998	1.000	0.752	0.580	0.527	0.527	0.545	0.255	0.527	-0.518	-0.518	-0.518	0.551	1.000	0.577	1.000	0.000	0.000	0.000	0.000	0.336	0.336	1.000	1.000	0.000	0.675	0.336
Quantity	-0.474	0.760	0.752	1.000	0.787	0.478	0.478	0.050	-0.146	0.419	-0.474	-0.474	-0.474	0.552	1.000	0.471	1.000	0.000	0.000	0.000	0.000	0.144	0.144	1.000	1.000	0.000	0.472	0.144
No Of Packages	-0.594	0.581	0.580	0.787	1.000	0.384	0.384	-0.009	-0.256	0.288	-0.594	-0.594	-0.594	0.000	1.000	0.333	1.000	0.471	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.816	0.000
Customs Value Bwp	-0.127	0.551	0.527	0.478	0.384	1.000	1.000	0.118	-0.527	0.964	-0.127	-0.127	-0.127	0.385	1.000	0.471	1.000	0.500	0.000	0.000	0.000	0.631	0.631	1.000	1.000	0.000	0.676	0.631
Customs value USD	-0.127	0.551	0.527	0.478	0.384	1.000	1.000	0.118	-0.527	0.964	-0.127	-0.127	-0.127	0.385	1.000	0.471	1.000	0.500	0.000	0.000	0.000	0.631	0.631	1.000	1.000	0.000	0.676	0.631
Invoice Amount BWP	-0.209	0.515	0.545	0.050	-0.009	0.118	0.118	1.000	0.645	0.155	-0.209	-0.209	-0.209	0.844	1.000	0.745	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000
Freight BWP	-0.155	0.237	0.255	-0.146	-0.256	-0.527	-0.527	0.645	1.000	-0.400	-0.155	-0.155	-0.155	0.436	1.000	0.000	1.000	0.000	0.371	0.371	0.371	0.000	0.000	1.000	1.000	0.291	0.000	0.000
Vat	-0.082	0.560	0.527	0.419	0.288	0.964	0.964	0.155	-0.400	1.000	-0.082	-0.082	-0.082	0.385	1.000	0.471	1.000	0.500	0.000	0.000	0.000	0.631	0.631	1.000	1.000	0.000	0.676	0.631
Chapter	1.000	-0.515	-0.518	-0.474	-0.594	-0.127	-0.127	-0.209	-0.155	-0.082	1.000	1.000	1.000	0.000	1.000	0.333	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000
Heading	1.000	-0.515	-0.518	-0.474	-0.594	-0.127	-0.127	-0.209	-0.155	-0.082	1.000	1.000	1.000	0.000	1.000	0.333	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000
Subheading	1.000	-0.515	-0.518	-0.474	-0.594	-0.127	-0.127	-0.209	-0.155	-0.082	1.000	1.000	1.000	0.000	1.000	0.333	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.000
Date	0.000	0.551	0.551	0.552	0.000	0.385	0.385	0.844	0.436	0.385	0.000	0.000	0.000	1.000	1.000	0.333	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.083	0.000
Importer	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Importer Address	0.333	0.577	0.577	0.471	0.333	0.471	0.471	0.745	0.000	0.471	0.333	0.333	0.333	0.333	1.000	1.000	1.000	0.943	0.471	0.471	0.471	0.667	0.667	1.000	1.000	0.000	0.667	0.667
Exporter	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Declarant	0.000	0.000	0.000	0.000	0.471	0.500	0.500	0.000	0.000	0.500	0.000	0.000	0.000	0.000	1.000	0.943	1.000	1.000	0.500	0.500	0.500	0.707	0.707	1.000	1.000	0.000	0.331	0.707
ORIGIN Origin Country	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.371	0.000	0.000	0.000	0.000	0.000	1.000	0.471	1.000	0.500	1.000	1.000	1.000	0.866	0.866	1.000	1.000	0.000	0.000	0.866
Origin Country	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.371	0.000	0.000	0.000	0.000	0.000	1.000	0.471	1.000	0.500	1.000	1.000	1.000	0.866	0.866	1.000	1.000	0.000	0.000	0.866
Export Country	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.371	0.000	0.000	0.000	0.000	0.000	1.000	0.471	1.000	0.500	1.000	1.000	1.000	0.866	0.866	1.000	1.000	0.000	0.000	0.866
Port Of Entry	0.000	0.336	0.336	0.144	0.000	0.631	0.631	0.000	0.000	0.631	0.000	0.000	0.000	0.000	1.000	0.667	1.000	0.707	0.866	0.866	0.866	1.000	1.000	1.000	1.000	0.000	0.250	1.000
Place Of Discharge	0.000	0.336	0.336	0.144	0.000	0.631	0.631	0.000	0.000	0.631	0.000	0.000	0.000	0.000	1.000	0.667	1.000	0.707	0.866	0.866	0.866	1.000	1.000	1.000	1.000	0.000	0.250	1.000
Hs Code Description	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Commercial Description	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
Quantity UOM	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.291	0.000	0.000	0.000	0.000	0.000	1.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	1.000	0.000	0.000
Package Type	0.000	0.675	0.675	0.472	0.816	0.676	0.676	0.000	0.000	0.676	0.000	0.000	0.000	0.083	1.000	0.667	1.000	0.331	0.000	0.000	0.000	0.250	0.250	1.000	1.000	0.000	1.000	0.250
Declaration Office	0.000	0.336	0.336	0.144	0.000	0.631	0.631	0.000	0.000	0.631	0.000	0.000	0.000	0.000	1.000	0.667	1.000	0.707	0.866	0.866	0.866	1.000	1.000	1.000	1.000	0.000	0.250	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	Date	Importer	Importer Address	Exporter	Declarant	Country	ORIGIN Origin Country	Origin Country	Export Country	Destination Country	Port Of Entry	Place Of Discharge	Hs Code	Hs Code Description	Commercial Description	Gross Weight	Gross Weight UOM	Net Weight	Net Weight UOM	Quantity	Quantity UOM	No Of Packages	Package Type	Customs Value Bwp	Customs value USD	Declaration Office	Invoice Amount BWP	Freight BWP	Vat	Chapter	Heading	Subheading	Month	Year
0	01-Aug-21	WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED	P O BOX 500017	WOOLWORTHS	WOOLWORTHS (BOTSWANA) (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Tlokweng Gate	Tlokweng Gate	3063900	Other, including flour, meals and pellets of crustaceans fit for human	Other, including flours, meals and pellets of crustaceans, fit for human	16.76	KGM	16.76	KGM	30.00	KGM	30	EACH	1808.92	163.66	Tlokweng Gate	109753.60	33767.55	331.15	3	306	30639	August	2021
1	04-Aug-21	S.R.J. ENTERPRISES (PROPRIETARY) LIMITED	PO BOX 281	TRUSEAL	GLOBE-TECH INVESTMENTS (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Tlokweng Gate	Tlokweng Gate	40169310	Identifiable as integral parts of industrial machinery	SEAL	20.00	KGM	20.00	KGM	20000.00	KGM	20000	KEG	2370.89	214.50	Tlokweng Gate	2370.89	118.54	348.50	40	4016	401693	August	2021
2	10-Aug-21	VISITION ROYAL INVESTMENT (PROPRIETARY0 LIMITED	P O BOX 550296	YIWU BORZ E-COMMERCE CO LTD	NOTCHABOVE (PROPRIETARY) LIMITED	BOTSWANA	CHINA	China	China	Botswana	GABCON	GABCON	84688000	Other machinery and apparatus	MINI ELECTRIC WELDING MACHINE	3.00	KGM	3.00	KGM	1.00	EA	1	CARTONS	46.04	4.17	GABCON	122562.93	59375.32	9.55	84	8468	846880	August	2021
3	03-Aug-21	BUILDERS TRADE DEPOT(BOTSWANA)(PTY)LTD	P O BOX 70021	GYPROC SAINT GTOBAIN	HYPER TRANSPORT (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Ramatlabama Borderpost	Ramatlabama Borderpost	44189900	Other builders' joinery and carpentry of wood, including cellular wood	CORNICE	5511.42	KGM	5510.42	KGM	5510.42	KGM	13	EACH	31468.00	2846.99	Ramatlabama Borderpost	158701.64	10190.57	4688.40	44	4418	441899	August	2021
4	11-Aug-21	BOTGOOD INVESTMENTS (PRPPRIETARY) LIMITED	P.O. Box 50131	JUDYS PRIDE FASHIONS PTY LTD	BMR AGENTS (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Tlokweng Gate	Tlokweng Gate	68129100	Clothing, clothing accessories, footwear and headgear	OTHER	40.08	KGM	40.08	KGM	40.08	KGM	17	CARTONS	7233.35	654.42	Tlokweng Gate	7233.35	361.67	1063.30	68	6812	681291	August	2021
5	05-Aug-21	PRIMEFAST (PROPRIETARY) LIMITED	PRIVATE BAG	BENDORA BOERDERY	HYPER TRANSPORT (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Ramatlabama Borderpost	Ramatlabama Borderpost	12130000	Cereal straw and husks, unprepared, whether or not chopped, ground,	WHEAT STRAW	19611.00	KGM	19610.00	KGM	19610.00	KGM	52	BALE,COMPRESSED	26886.70	2432.50	Ramatlabama Borderpost	26886.71	1344.33	3952.35	12	1213	121300	August	2021
6	10-Aug-21	CORDNEX ENTERPRISE (PROPRIETARY) LIMITED	P O BOX 19	NUTRI FEEDS PTY LTD	TIKULE MARKETING (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Pioneer Gate	Pioneer Gate	23099092	Other Preparations of a kind used in animal feeding	TUB ENERGY,PROTEIN ENERY AND TUB PHOSPHATE. NO BOBS REQUIRED	34000.00	KGM	34000.00	KGM	680.00	KGM	680	BAG	123099.00	11137.07	Pioneer Gate	123099.21	6154.96	18095.60	23	2309	230990	August	2021
7	11-Aug-21	PRIVYTEC (PROPRIETARY) LIMITED	P O BOX AD 75 ACJ	E-ENERGY HOLDING LTD	ONE NATION FREIGTHS (PROPRIETARY) LIMITED	BOTSWANA	HONG KONG	Hong Kong	Hong Kong	Botswana	Sir Seretse Khama Airport	Sir Seretse Khama Airport	85291020	Other aerials for reception apparatus for television, whether or not capable	MI BOX S EU	3.00	KGM	2.69	KGM	10.00	KGM	1	EACH	5176.20	468.30	Sir Seretse Khama	5176.20	1431.72	1070.05	85	8529	852910	August	2021
8	02-Aug-21	LOGICAL DEMAND (PROPRIETARY) LIMITED	P O BOX 1612	MAANSHAN YINGKAI INTERNATIONAL TRADING COMPANY LIMITED	LONGPOINT (PROPRIETARY) LIMITED	BOTSWANA	CHINA	China	China	Botswana	GABCON	GABCON	39269090	Other articles of plastics and articles of other materials of headings .39.01	FRESHNESS PROTECTION PACKAGE	132.00	KGM	132.00	KGM	132.00	KGM	10	CARTONS	474.61	42.94	GABCON	64056.13	104123.21	187.75	39	3926	392690	August	2021
9	11-Aug-21	HEART OF AFRICA GIFTS (PROPRIETARY) LIMITED	P.O. Box 1344	OROAFRICA (PTY)LTD	PINNACLE EXPRESS (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Pioneer Gate	Pioneer Gate	96085000	Sets of articles from two or more of the foregoing subheadings	GIFTS SETS	0.04	KGM	0.04	KGM	10.00	EA	10	EACH	5720.30	517.53	Pioneer Gate	5960.75	113.67	816.10	96	9608	960850	August	2021

	Date	Importer	Importer Address	Exporter	Declarant	Country	ORIGIN Origin Country	Origin Country	Export Country	Destination Country	Port Of Entry	Place Of Discharge	Hs Code	Hs Code Description	Commercial Description	Gross Weight	Gross Weight UOM	Net Weight	Net Weight UOM	Quantity	Quantity UOM	No Of Packages	Package Type	Customs Value Bwp	Customs value USD	Declaration Office	Invoice Amount BWP	Freight BWP	Vat	Chapter	Heading	Subheading	Month	Year
1	04-Aug-21	S.R.J. ENTERPRISES (PROPRIETARY) LIMITED	PO BOX 281	TRUSEAL	GLOBE-TECH INVESTMENTS (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Tlokweng Gate	Tlokweng Gate	40169310	Identifiable as integral parts of industrial machinery	SEAL	20.00	KGM	20.00	KGM	20000.00	KGM	20000	KEG	2370.89	214.50	Tlokweng Gate	2370.89	118.54	348.50	40	4016	401693	August	2021
2	10-Aug-21	VISITION ROYAL INVESTMENT (PROPRIETARY0 LIMITED	P O BOX 550296	YIWU BORZ E-COMMERCE CO LTD	NOTCHABOVE (PROPRIETARY) LIMITED	BOTSWANA	CHINA	China	China	Botswana	GABCON	GABCON	84688000	Other machinery and apparatus	MINI ELECTRIC WELDING MACHINE	3.00	KGM	3.00	KGM	1.00	EA	1	CARTONS	46.04	4.17	GABCON	122562.93	59375.32	9.55	84	8468	846880	August	2021
3	03-Aug-21	BUILDERS TRADE DEPOT(BOTSWANA)(PTY)LTD	P O BOX 70021	GYPROC SAINT GTOBAIN	HYPER TRANSPORT (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Ramatlabama Borderpost	Ramatlabama Borderpost	44189900	Other builders' joinery and carpentry of wood, including cellular wood	CORNICE	5511.42	KGM	5510.42	KGM	5510.42	KGM	13	EACH	31468.00	2846.99	Ramatlabama Borderpost	158701.64	10190.57	4688.40	44	4418	441899	August	2021
4	11-Aug-21	BOTGOOD INVESTMENTS (PRPPRIETARY) LIMITED	P.O. Box 50131	JUDYS PRIDE FASHIONS PTY LTD	BMR AGENTS (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Tlokweng Gate	Tlokweng Gate	68129100	Clothing, clothing accessories, footwear and headgear	OTHER	40.08	KGM	40.08	KGM	40.08	KGM	17	CARTONS	7233.35	654.42	Tlokweng Gate	7233.35	361.67	1063.30	68	6812	681291	August	2021
5	05-Aug-21	PRIMEFAST (PROPRIETARY) LIMITED	PRIVATE BAG	BENDORA BOERDERY	HYPER TRANSPORT (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Ramatlabama Borderpost	Ramatlabama Borderpost	12130000	Cereal straw and husks, unprepared, whether or not chopped, ground,	WHEAT STRAW	19611.00	KGM	19610.00	KGM	19610.00	KGM	52	BALE,COMPRESSED	26886.70	2432.50	Ramatlabama Borderpost	26886.71	1344.33	3952.35	12	1213	121300	August	2021
6	10-Aug-21	CORDNEX ENTERPRISE (PROPRIETARY) LIMITED	P O BOX 19	NUTRI FEEDS PTY LTD	TIKULE MARKETING (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Pioneer Gate	Pioneer Gate	23099092	Other Preparations of a kind used in animal feeding	TUB ENERGY,PROTEIN ENERY AND TUB PHOSPHATE. NO BOBS REQUIRED	34000.00	KGM	34000.00	KGM	680.00	KGM	680	BAG	123099.00	11137.07	Pioneer Gate	123099.21	6154.96	18095.60	23	2309	230990	August	2021
7	11-Aug-21	PRIVYTEC (PROPRIETARY) LIMITED	P O BOX AD 75 ACJ	E-ENERGY HOLDING LTD	ONE NATION FREIGTHS (PROPRIETARY) LIMITED	BOTSWANA	HONG KONG	Hong Kong	Hong Kong	Botswana	Sir Seretse Khama Airport	Sir Seretse Khama Airport	85291020	Other aerials for reception apparatus for television, whether or not capable	MI BOX S EU	3.00	KGM	2.69	KGM	10.00	KGM	1	EACH	5176.20	468.30	Sir Seretse Khama	5176.20	1431.72	1070.05	85	8529	852910	August	2021
8	02-Aug-21	LOGICAL DEMAND (PROPRIETARY) LIMITED	P O BOX 1612	MAANSHAN YINGKAI INTERNATIONAL TRADING COMPANY LIMITED	LONGPOINT (PROPRIETARY) LIMITED	BOTSWANA	CHINA	China	China	Botswana	GABCON	GABCON	39269090	Other articles of plastics and articles of other materials of headings .39.01	FRESHNESS PROTECTION PACKAGE	132.00	KGM	132.00	KGM	132.00	KGM	10	CARTONS	474.61	42.94	GABCON	64056.13	104123.21	187.75	39	3926	392690	August	2021
9	11-Aug-21	HEART OF AFRICA GIFTS (PROPRIETARY) LIMITED	P.O. Box 1344	OROAFRICA (PTY)LTD	PINNACLE EXPRESS (PROPRIETARY) LIMITED	BOTSWANA	SOUTH AFRICA	South Africa	South Africa	Botswana	Pioneer Gate	Pioneer Gate	96085000	Sets of articles from two or more of the foregoing subheadings	GIFTS SETS	0.04	KGM	0.04	KGM	10.00	EA	10	EACH	5720.30	517.53	Pioneer Gate	5960.75	113.67	816.10	96	9608	960850	August	2021
10	04-Aug-21	WIREY INVESTMENTS (PROPRIETARY LIMITED	P O BOX 550296	YIWUBORZ E-COMMERCE CO LTD	NOTCHABOVE (PROPRIETARY) LIMITED	BOTSWANA	CHINA	China	China	Botswana	GABCON	GABCON	87083003	Disc brake pads, mounted	BRAKE DISC,BRAKE PADS	980.00	KGM	980.00	KGM	300.00	KGM	20	CARTONS	2226.12	201.40	GABCON	119681.69	83031.66	621.35	87	8708	870830	August	2021

Overview

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Length

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Most frequent character per category

Decimal Number

Lowercase Letter

Dash Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Open Punctuation

Close Punctuation

Other Punctuation

Decimal Number

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Lowercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Dash Punctuation

Open Punctuation

Close Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator